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yogsoth-aiyogsoth-ai/knowledge-structuring/skills/novelty-scoring/SKILL.md

novelty-scoring

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

SOP for scoring empty cells by novelty potential — how surprising and valuable would this combination be?

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Must provide explicit reasoning for each score, not just a number.

    line 28

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Novelty Scoring

Score empty cells (unexplored combinations) by their novelty potential.

Tool

vault_search + CC reasoning

Protocol

  1. For each empty cell, assess:
    • Distance from nearest occupied cell (more distant = more novel)
    • Feasibility (are there physical/logical constraints?)
    • Potential impact (would this combination solve known problems?)
  2. Score 0-10: novelty (0=obvious, 10=paradigm-shifting)
  3. Flag top-scoring cells as priority research opportunities

HARD-GATE

<HARD-GATE> Must provide explicit reasoning for each score, not just a number. </HARD-GATE>

Yield

Returns: { scored: Array<{combination: string, score: number, reasoning: string}> }

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